The tacit cooperation between ChatGPT and Python: making chatbots bilingual in Chinese and English

The tacit cooperation of ChatGPT and Python: Let the chatbot support bilingual Chinese and English

Introduction:
Recently, OpenAI launched a powerful natural language processing model ——ChatGPT. The model has strong semantic understanding and generation capabilities and can have natural and smooth conversations with people. However, ChatGPT initially only supported English, and support for Chinese was still lacking. This article will introduce how to use Python code to enable ChatGPT to support bilingual conversations in Chinese and English.

Background knowledge:
Before we begin, we need to understand two key Python libraries: OpenAI and GoogleTrans. OpenAI is the company responsible for the development and release of the ChatGPT model, and GoogleTrans is a convenient Python library for implementing text translation capabilities.

Step 1: Install dependent libraries
First, we need to install two Python libraries: OpenAI and GoogleTrans. Open the terminal and enter the following command to install these two libraries:

pip install openai
pip install googletrans==4.0.0-rc1

Step 2: Set API key
In order to use the ChatGPT model, we need to obtain the API key of OpenAI. Please visit OpenAI’s official website and create an account. In the account settings you will find your API key. Copy this key into your Python code for later use.

Step 3: Create a ChatGPT instance
Next, we will use OpenAI’s Python library to create a ChatGPT instance. The specific code is as follows:

import openai

openai.api_key = "your-api-key"

def chat_with_gpt(text):
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=text,
        max_tokens=100,
        n=1,
        stop=None,
        temperature=0.7
    )
    return response.choices[0].text.strip()

The above code will create a ChatGPT instance using the API key you provide, and defines a chat_with_gpt function for talking to the ChatGPT model.

Step 4: Add Chinese and English translation function
Since the ChatGPT model currently only supports English, we need to provide the function of Chinese and English translation for seamless switching during the conversation. We will use the GoogleTrans library to implement this functionality. The following is a code example:

from googletrans import Translator

translator = Translator(service_urls=['translate.google.com'])

def translate(text, dest='en'):
    translated_text = translator.translate(text, dest=dest)
    return translated_text.text

The above code will create a translator instance and define a translate function to translate the input text into the specified language.

Step 5: Write the main program
Now, we can write a main program to realize the function of bilingual dialogue in Chinese and English. The specific code is as follows:

def main():
    while True:
        user_input = input("User: ")
        translated_input = translate(user_input, dest='en')
        gpt_response = chat_with_gpt(translated_input)
        translated_response = translate(gpt_response, dest='zh-CN')
        print("ChatGPT: " + translated_response)

if __name__ == "__main__":
    main()

The above code will enter an infinite loop, and the user can enter information and have a conversation with ChatGPT. The user's input will be translated into English and then passed to the ChatGPT model for processing. ChatGPT's response will be translated back to Chinese and then printed on the screen.

Summary:
By using the ChatGPT model, OpenAI and GoogleTrans libraries, we successfully implemented a Chinese and English bilingual conversation chatbot. This simple example shows us the tacit cooperation between Python and artificial intelligence models, and inspires us to further develop and expand the potential of artificial intelligence.

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